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Record W4294609073 · doi:10.7203/sjp.25049

Preliminary paleopalynology of the Kanguk Formation (Upper Cretaceous), Remus Creek, Canadian Arctic Archipelago: I. Marine Palynomorphs

2022· article· en· W4294609073 on OpenAlexaffabout
L. Koldo Núñez-Betelu, Len V. Hills

Bibliographic record

VenueSpanish Journal of Palaeontology · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsArchipelagoCretaceousArcticGeologyPaleontologyOceanography

Abstract

fetched live from OpenAlex

A 39 m section of the Kanguk Formation (Upper Turonian to Lower Campanian) on Remus Creek, Ellesmere Island, was sampled at about one inetre intervals to provide stratigraphic control on palynomorph taxa present. These samples yield well-preserved marine and terrestrial palynofloras represented by a total of 181 taxa, of which 103 are dinocysts and acritarchs and represent 51 % of the population. Based on the abundance and type of taxa present the section can be divided into a lower, dinocyst dominated interval, and an upper interval, where dinocysts are present in lower numbers and terrestrial palynomorphs dominate. In the lower part dinocysts are abundant, diverse and well-preserved. Chorate cysts are the most abundant in terms of species diversity and numbers of specimens, however, cavate dinocysts are common also. In turn, in the upper part of the section, marine palynomorphs are much less common, poorly preserved and sporadic in occurrence. Acritarchs account for a small but significant proportion of the marine assemblages. Small numbers of taxa of Albian-Cenomanian age are considered to be reworked from the underlying Hassel Formation. This indicates an unconformity between the Hassel and Kanguk formations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.195
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2022
Admission routes2
Has abstractyes

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